Sayan Ghosal

Researcher, Chan Zuckerberg Initiative

Joined

May 2021

Names

Sayan Ghosal (Preferred)

Emails

****@jhu.edu (Confirmed)

****@gmail.com (Confirmed)

****@chanzuckerberg.com (Confirmed)

Personal Links

Homepage

Google Scholar

DBLP

Career & Education History

Researcher

Chan Zuckerberg Initiative (chanzuckerberg.com)

2024 – Present

Researcher

Broad Institute (broadinstitute.org)

2023 – 2024

PhD student

Johns Hopkins University (jhu.edu)

2017 – 2023

Undergrad student

Jadavpur University, Kolkata (jaduniv.edu.in)

2013 – 2017

Advisors, Relations & Conflicts

Coworker

Niharika Shimona D'Souza

Present

Expertise

Computational Biology

Present

Imaging Genetics

Present

Deep Learning

Present

Publications

BEATRICE: Bayesian fine-mapping from summary data using deep variational inference
Sayan Ghosal, Archana Venkataraman, Michael Schatz
- OpenReview Archive Direct Upload
- Readers: Everyone
VariantFormer: A hierarchical transformer integrating DNA sequences with genetic variations and regulatory landscapes for personalized gene expression prediction
Sayan Ghosal
- OpenReview Archive Direct Upload
- Readers: Everyone
GIRUS-net: A Multimodal Deep Learning Model Identifying Imaging and Genetic Biomarkers Linked to Alzheimer's Disease Severity
Sarah Wu, Archana Venkataraman, Sayan Ghosal
- EMBC 2023
- Readers: Everyone
A Biologically Interpretable Graph Convolutional Network to Link Genetic Risk Pathways and Imaging Phenotypes of Disease
Sayan Ghosal, Qiang Chen, Giulio Pergola, Aaron L. Goldman, William Ulrich, Daniel R. Weinberger, Archana Venkataraman
- ICLR 2022
- Readers: Everyone
A Biologically Interpretable Graph Convolutional Network to Link Genetic Risk Pathways and Imaging Phenotypes of Disease
Sayan Ghosal, Qiang Chen, Giulio Pergola, Aaron L Goldman, William Ulrich, Daniel R Weinberger, Archana Venkataraman
- Published: 28 Jan 2022, Last Modified: 13 Feb 2023
- ICLR 2022 Poster
- Readers: Everyone
A generative-discriminative framework that integrates imaging, genetic, and diagnosis into coupled low dimensional space
Sayan Ghosal, Qiang Chen, Giulio Pergola, Aaron L. Goldman, William Ulrich, Karen Faith Berman, Giuseppe Blasi, Leonardo Fazio, Antonio Rampino, Alessandro Bertolino, Daniel R. Weinberger, Venkata S. Mattay, Archana Venkataraman
- NeuroImage 2021
- Readers: Everyone
G-MIND: an end-to-end multimodal imaging-genetics framework for biomarker identification and disease classification
Sayan Ghosal, Qiang Chen, Giulio Pergola, Aaron L. Goldman, William Ulrich, Karen Faith Berman, Giuseppe Blasi, Leonardo Fazio, Antonio Rampino, Alessandro Bertolino, Daniel R. Weinberger, Venkata S. Mattay, Archana Venkataraman
- Image Processing 2021
- Readers: Everyone
Bridging Imaging, Genetics, and Diagnosis in a Coupled Low-Dimensional Framework
Sayan Ghosal, Qiang Chen, Aaron L. Goldman, William Ulrich, Karen Faith Berman, Daniel R. Weinberger, Venkata S. Mattay, Archana Venkataraman
- MICCAI (4) 2019
- Readers: Everyone
A generative-predictive framework to capture altered brain activity in fMRI and its association with genetic risk: application to Schizophrenia
Sayan Ghosal, Qiang Chen, Aaron L. Goldman, William Ulrich, Karen Faith Berman, Daniel R. Weinberger, Venkata S. Mattay, Archana Venkataraman
- Image Processing 2019
- Readers: Everyone
A novel non-rigid registration algorithm for zebrafish larval images
Sayan Ghosal, Soumava Banerjee, Natascia Tiso, Enrico Grisan, Ananda S. Chowdhury
- EMBC 2017
- Readers: Everyone

View all 12 publications

Sayan Ghosal

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Co-Authors